research
∙
05/11/2023
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review
Motion represents one of the major challenges in magnetic resonance imag...
share
research
∙
07/02/2018
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans and Bayesian Inference
Glioblastoma is a highly invasive brain tumor, whose cells infiltrate su...
research
∙
07/02/2018
Personalized Radiotherapy Design for Glioblastoma Using Mathematical Models, Multimodal Scans and Bayesian Inference
Glioblastoma is a highly invasive brain tumor, whose cells infiltrate su...
research
∙
07/02/2018
Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration
Existing radiotherapy (RT) plans for brain tumors derive from population...
research
∙
04/08/2018
DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning
Arterial spin labeling (ASL) allows to quantify the cerebral blood flow ...
research
∙
08/25/2017
